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                <identifier>oai:data.mendeley.com/2xfm6z2p5v.1</identifier>
                <datestamp>2026-06-25T20:21:13Z</datestamp>
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    <dc:creator id="https://orcid.org/0000-0003-0424-1218">Kuzela, Tomas</dc:creator>
    <dc:title>Replication package for &quot;Vibe Testing for REST APIs: A Context-Taxonomic Benchmark of LLM-Generated Test Suites&quot;</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This is the complete replication package for the article &quot;Vibe Testing for REST APIs: A Context-Taxonomic Benchmark of LLM-Generated Test Suites&quot;.
Vibe Testing is an execution-guided workflow in which a large language model (LLM) synthesizes, runs, diagnoses, and repairs executable REST API test suites in a controlled feedback loop. The study quantifies how the type and amount of supplied context shape both the validity and the defect-detection power of the generated tests, using a five-level context taxonomy (L0: OpenAPI specification only; L1: + business documentation; L2: + source code; L3: + database schema; L4: + reference tests) on a purpose-built, contamination-controlled 50-endpoint Bookstore API.
Package contents (folders 01-10):
- 01_framework: the Vibe Testing pipeline (context assembly, planning, generation, validation, metrics, repair) and all experiment configurations.
- 02_target_api: the 50-endpoint Bookstore REST API under test (FastAPI + SQLite).
- 03_context_artifacts: the five context-level input artifacts.
- 04_context_axis: balanced experiment (5 cloud LLMs x 5 levels x 5 runs = 125 runs) with per-run metrics and all 125 generated suites.
- 05_temperature_axis: temperature sweeps (7 models x 6 temperatures at L1).
- 06_openweight_context_matrix: auxiliary open-weight model results.
- 07_mutation_testing: 13 hand-curated crud.py mutants and per-suite kill results for all 125 cloud suites.
- 08_instruction_following: instruction-following-compliance probe results.
- 09_statistics: nonparametric analyses (Friedman, Kendall&apos;s W, Wilcoxon, Mann-Whitney, Cliff&apos;s delta, bootstrap CIs).
- 10_figures: the eight published figures and their generator scripts.
MANIFEST.sha256 lists every file with a checksum. All framework and analysis code is in English; the target Bookstore API models a Czech-domain bookstore, so its documentation and a few domain strings are preserved verbatim in the original language as the exact inputs supplied to the models, which does not affect the measured results.
Licensing: software components are under the MIT License (LICENSE); data, results, and figures are under CC BY 4.0 (DATA-LICENSE.txt). Citation metadata is in CITATION.cff.</dc:description>
    <dc:subject>Software Testing</dc:subject>
    <dc:contributor>Chuděj, Martin</dc:contributor>
    <dc:contributor id="https://orcid.org/0000-0002-5398-2330">Burdík, Martin</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/2xfm6z2p5v.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/2xfm6z2p5v.1</dc:identifier>
    <dc:rights>MIT License</dc:rights>
    <dc:rights>http://opensource.org/licenses/MIT</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/2xfm6z2p5v</dc:relation>
    <dc:date>2026-06-25T20:21:13Z</dc:date>
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